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- pandas_numpy_scipy.ipynb
- data.csv
- dataset1.csv
- dataset2.csv
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- Logistic_Regression.ipynb
- Logistic_Iris.csv
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- Decision_Tree.ipynb
- Logistic_Iris.csv
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- KNN.ipynb
- Logistic_Iris.csv
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- k_means.ipynb
- Logistic_Iris.csv
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- Naive_Baies.ipynb
- Logistic_Iris.csv
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- SVM.ipynb
- Logistic_Iris.csv
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- Agglomerative.ipynb
- Logistic_Iris.csv
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Ensemble Techniques : Boosting,Bagging,Random Forest
- Boosting.ipynb
- Bagging.ipynb
- Random Forest.ipynb
- Logistic_Iris.csv
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Performance matrics = True Possitive Rate ,False Possitive Rate ,Recall ,Accuracy , Precision
- performance_matrics.ipynb
- Logistic_Iris.csv